Applied Mathematics (BS): Mathematical Foundations of Data Science Concentration
The Bachelor of Science in Applied Mathematics provides a strong foundation in mathematical theory, problem-solving, modeling, and computational methods, preparing students for careers in fields like engineering, finance, biomathematics, and data science. The program emphasizes practical applications and offers flexibility through "Applied Electives," allowing students to tailor their studies to interests in areas such as computer science, economics, physics, or operations research. Many students complement their degree with minors or second majors in related fields to enhance their career opportunities.
For more information about this program visit our听.
Department of Mathematics
North Carolina State 福利逼站
Campus Box 8205
Raleigh, NC 27695
Dr. Alina Duca
Teaching Professor and Director of Undergraduate Programs in Mathematics
SAS Hall 2108B
919.515.1875
anduca@ncsu.edu
Plan Requirements
| Code | Title | Hours |
|---|---|---|
| Orientation (verify requirement) 1 | 0 | |
| 颁翱厂听100 | Science of Change | 0 |
| 辞谤听贰听115 | Introduction to Computing Environments | |
| Communication and Advanced Writing | ||
| 贰狈骋听101 | Academic Writing and Research | 4 |
| Select one of the following Communications courses (Verify Requirement): 1 | 0 | |
| Public Speaking | ||
| Interpersonal Communication | ||
| Argumentation and Advocacy | ||
| Language, Communication, and Culture | ||
| Select one of the following Advanced Writing courses: | 3 | |
| Communication for Engineering and Technology | ||
| Communication for Business and Management | ||
| Communication for Science and Research | ||
| Analysis of Scientific and Technical Writing | ||
| Basic Mathematics | ||
| 惭础听141 | Calculus I 1 | 4 |
| 惭础听241 | Calculus II 2 | 4 |
| 惭础听242 | Calculus III 5 | 4 |
| 惭础听225 | Foundations of Advanced Mathematics 5 | 3 |
| 惭础听341 | Applied Differential Equations I 5 | 3 |
| Basic Science 3 | ||
| Courses must be taken from two different disciplines | 8 | |
| Chemistry - A Molecular Science and General Chemistry Laboratory | ||
| General Chemistry I for Students in Chemical Sciences and General Chemistry Laboratory I for Students in Chemical Sciences | ||
| Physics for Engineers and Scientists I and Physics for Engineers and Scientists I Laboratory | ||
| 福利逼站 Physics I | ||
| Introductory Biology: Ecology, Evolution, and Biodiversity | ||
| Introductory Biology: Cellular and Molecular Biology | ||
| Additional GEP Natural Sciences | 4 | |
| Select one of the following three options for the Statistics requirement: 4 | 6 | |
| Introduction to Probability and Distribution Theory and Introduction to Statistical Inference and Regression | ||
| Introduction to Probability and Introduction to Mathematical Statistics II | ||
| Introduction to Mathematical Statistics I and Introduction to Mathematical Statistics II | ||
| Select one of the following Introduction to Programming courses: | 3 | |
| Introduction to Computing: Python | ||
| Introduction to Scientific Computing | ||
| Statistical Programming | ||
| Advanced Mathematics 5, 6 | ||
| 惭础听405 | Introduction to Linear Algebra | 3 |
| 惭础听407 | Introduction to Modern Algebra for Mathematics Majors | 3 |
| 惭础听425 | Mathematical Analysis I | 3 |
| Data Science and Scientific Computing | 9 | |
| Mathematical Foundations of Data Science I | ||
| Mathematics of Scientific Computing | ||
| Mathematical Foundations of Data Science II | ||
| Math Electives 5 | 9 | |
| Data Science Electives | 6 | |
| Select two of the following courses: | ||
| Automated Learning and Data Analysis | ||
辞谤听颁厂颁听522 | Automated Learning and Data Analysis | |
| Introduction to Data Science | ||
辞谤听颁厂颁听442 | Introduction to Data Science | |
| Introduction to Statistical Computing and Data Management | ||
| Statistical Learning and Data Analytics | ||
| Advanced Computing for Statistical Reasoning | ||
| Convex Optimization Methods in Data Science | ||
| Concentration Requirements | ||
| 笔贬滨听227 | Data Ethics | 3 |
| 顿厂础听202 | Introduction to Data Visualization | 1 |
| 顿厂础听405 | Data Wrangling and Web Scraping | 1 |
| General Data Science Electives: Select 4 credits of DSA courses, at least 2 at the 400-level | 4 | |
| Advised Electives | 9 | |
| A personalized plan for the 9 credits of Advised Electives will be developed in collaboration with the student鈥檚 academic advisor. These courses offer the opportunity for the student to explore areas of interest in greater depth, particularly in subjects related to data science. Students are also encouraged to use these electives to pursue a minor or a second major. | ||
| GEP Courses | ||
| GEP Humanities | 3 | |
| GEP Social Sciences | 6 | |
| GEP Health and Exercise Studies | 2 | |
| GEP Interdisciplinary Perspectives | 5 | |
| GEP Requirement | 3 | |
| GEP Global Knowledge (verify requirement) | ||
| GEP Foundations of American Democracy (verify requirement) | ||
| World Language Proficiency (verify requirement) | ||
| Free Electives 7 | 4 | |
| Free Electives (4 Hr S/U Lmt) | ||
| Total Hours | 120 | |
- *
Minimum 2.0 math GPA required for graduation.
- 1
The Orientation and Communication verify requirements are satisfied by some General Education Program courses which could potentially double count.
- 2
MA 141 and MA 241 must be completed with a grade of C or better.
- 3
At most one grade below a C- is permitted in Basic Science Electives (CH, PY, BIO). The Statistics and programming requirements must be satisfied with a letter grade of C- or better.
- 4
(ST 370 with MA 421) 辞谤听 (ST 370 with ST 421) will be accepted for students transferring into the Mathematics major having already taken ST 370.
- 5
At most one letter grade of D +/- is permitted in Math Elective courses. No grades of D +/- are permitted in required math courses (MA141, MA241, MA242, MA225, MA341, MA 326, MA 402, MA404, MA405, MA407, MA425).
- 6
No more than 6 total credits each from undergraduate research (MA 491), independent study (MA 499), or credit by examination may be used to meet program requirements (credit from AP exams or transfer credits is not included under this restriction). Also, students must complete at least one-half of the required mathematics credit hours (21) at NC State 福利逼站.
- 7
Students are encouraged to use Free Electives credits to pursue a minor or second major. Free electives courses cannot be 颁贬听100, 颁贬听111, 颁厂颁听226, 贰颁贰听220, 惭础听101, 惭础听107, 惭础听108, 惭础听111, 惭础听121, 惭础听131, 惭础听231, 笔驰听131, 笔驰听211, 笔驰听212, 贰狈骋听100. 100-level World Language Courses (WL*) can be used if not satisfying the language proficiency requirement.
听Math Electives
| Code | Title | Hours |
|---|---|---|
| MA听325 | Introduction to Applied Mathematics | 3 |
| MA听335 | Symbolic Logic | 3 |
| LOG听335 | Symbolic Logic | 3 |
| MA听351 | Introduction to Discrete Mathematical Models | 3 |
| MA听401 | Applied Differential Equations II | 3 |
| MA听408 | Foundations of Euclidean Geometry | 3 |
| MA听410 | Theory of Numbers | 3 |
| MA听412 | Long-Term Actuarial Models | 3 |
| ST听412 | Long-Term Actuarial Models | 3 |
| MA听413 | Short-Term Actuarial Models | 3 |
| ST听413 | Short-Term Actuarial Models | 3 |
| MA听414 | Foundations of Cryptography | 3 |
| CSC听414 | Foundations of Cryptography | 3 |
| MA听416 | Introduction to Combinatorics | 3 |
| CSC听416 | Introduction to Combinatorics | 3 |
| 惭础听421 | Introduction to Probability | 3 |
| MA听426 | Mathematical Analysis II | 3 |
| MA听427 | Introduction to Numerical Analysis I | 3 |
| CSC听427 | Introduction to Numerical Analysis I | 3 |
| MA听428 | Introduction to Numerical Analysis II | 3 |
| CSC听428 | Introduction to Numerical Analysis II | 3 |
| MA听432 | Mathematical Models in Life Sciences | 3 |
| MA听437 | Applications of Algebra | 3 |
| MA听450 | Methods of Applied Mathematics I | 3 |
| MA听451 | Methods of Applied Mathematics II | 3 |
| MA听491 | Reading in Honors Mathematics | 1-3 |
| MA听501 | Advanced Mathematics for Engineers and Scientists I | 3 |
| MA听504 | Introduction to Mathematical Programming | 3 |
| OR听504 | Introduction to Mathematical Programming | 3 |
| MA听505 | Linear Programming | 3 |
| ISE听505 | Linear Programming | 3 |
| OR听505 | Linear Programming | 3 |
| MA听513 | Introduction To Complex Variables | 3 |
| MA听514 | Foundations of Cryptography | 3 |
| CSC听514 | Foundations of Cryptography | 3 |
| MA听515 | Analysis I | 3 |
| MA听518 | Geometry of Curves and Surfaces | 3 |
| MA听520 | Linear Algebra | 3 |
| MA听521 | Abstract Algebra I | 3 |
| MA听522 | Computer Algebra | 3 |
| MA听523 | Linear Transformations and Matrix Theory | 3 |
| MA听524 | Combinatorics I | 3 |
| MA听526 | Mathematical Analysis II | 3 |
| MA听528 | Options and Derivatives Pricing | 3 |
| FIM听528 | Options and Derivatives Pricing | 3 |
| ECG听528 | Options and Derivatives Pricing | 3 |
| MBA听528 | Options and Derivatives Pricing | 3 |
| MA听531 | Dynamic Systems and Multivariable Control I | 3 |
| E听531 | Dynamic Systems and Multivariable Control I | 3 |
| OR听531 | Dynamic Systems and Multivariable Control I | 3 |
| MA听532 | Ordinary Differential Equations I | 3 |
| MA听534 | Introduction To Partial Differential Equations | 3 |
| MA听537 | Nonlinear Dynamics and Chaos | 3 |
| MA听540 | Uncertainty Quantification for Physical and Biological Models | 3 |
| 惭础听542 | Convex Optimization Methods in Data Science | 3 |
| MA听544 | Computer Experiments In Mathematical Probability | 3 |
| MA听546 | Probability and Stochastic Processes I | 3 |
| ST听546 | Probability and Stochastic Processes I | 3 |
| MA听547 | Stochastic Calculus for Finance | 3 |
| MA听548 | Monte Carlo Methods for Financial Math | 3 |
| FIM听548 | Monte Carlo Methods for Financial Math | 3 |
| MA听549 | Financial Risk Analysis | 3 |
| FIM听549 | Financial Risk Analysis | 3 |
| MA听551 | Introduction to Topology | 3 |
| MA听555 | Introduction to Manifold Theory | 3 |
| MA听561 | Set Theory and Foundations Of Mathematics | 3 |
| MA听565 | Graph Theory | 3 |
| CSC听565 | Graph Theory | 3 |
| OR听565 | Graph Theory | 3 |
| MA听573 | Mathematical Modeling of Physical and Biological Processes I | 3 |
| BMA听573 | Mathematical Modeling of Physical and Biological Processes I | 3 |
| MA听574 | Mathematical Modeling of Physical and Biological Processes II | 3 |
| BMA听574 | Mathematical Modeling of Physical and Biological Processes II | 3 |
| MA听580 | Numerical Analysis I | 3 |
| CSC听580 | Numerical Analysis I | 3 |
| MA听583 | Introduction to Parallel Computing | 3 |
| CSC听583 | Introduction to Parallel Computing | 3 |
| MA听584 | Numerical Solution of Partial Differential Equations--Finite Difference Methods | 3 |
| MA听587 | Numerical Solution of Partial Differential Equations--Finite Element Method | 3 |
| First Year | ||
|---|---|---|
| Fall Semester | Hours | |
| 颁翱厂听100 | Science of Change 1 | 2 |
| 惭础听141 | Calculus I 2 | 4 |
| 顿厂础听202 | Introduction to Data Visualization | 1 |
| GEP Requirement | 3 | |
| GEP Natural Sciences 3 | 4 | |
| GEP Health and Exercise Studies | 1 | |
| 听 | Hours | 15 |
| Spring Semester | ||
| 贰狈骋听101 | Academic Writing and Research | 4 |
| 惭础听241 | Calculus II 2 | 4 |
| 笔驰听205 | Physics for Engineers and Scientists I 3 | 3 |
| 笔驰听206 | Physics for Engineers and Scientists I Laboratory 2 | 1 |
| 颁翱惭听292 | Language, Communication, and Culture 1 | 3 |
| 听 | Hours | 15 |
| Second Year | ||
| Fall Semester | ||
| 惭础听242 | Calculus III 5 | 4 |
| 惭础听225 | Foundations of Advanced Mathematics 5 | 3 |
| 颁厂颁听111 | Introduction to Computing: Python | 3 |
| 叠滨翱听181 | Introductory Biology: Ecology, Evolution, and Biodiversity 3 | 4 |
| GEP Health and Exercise Studies | 1 | |
| 听 | Hours | 15 |
| Spring Semester | ||
| 惭础听341 | Applied Differential Equations I 5 | 3 |
| 惭础听405 | Introduction to Linear Algebra 5 | 3 |
| 厂罢听371 | Introduction to Probability and Distribution Theory 3, 4 | 3 |
| 笔贬滨听227 | Data Ethics | 3 |
| Advised Electives | 3 | |
| 听 | Hours | 15 |
| Third Year | ||
| Fall Semester | ||
| 惭础听407 | Introduction to Modern Algebra for Mathematics Majors 5 | 3 |
| 惭础听326 | Mathematical Foundations of Data Science I | 3 |
| 厂罢听372 | Introduction to Statistical Inference and Regression 3, 4 | 3 |
| 顿厂础听405 | Data Wrangling and Web Scraping | 1 |
| Advanced Writing/Speaking Elective | 3 | |
| Advised Electives | 3 | |
| 听 | Hours | 16 |
| Spring Semester | ||
| 惭础听425 | Mathematical Analysis I | 3 |
| 惭础听404 | Mathematical Foundations of Data Science II | 3 |
| 厂罢听442 | Introduction to Data Science | 3 |
| GEP Requirement | 3 | |
| General DSA Electives | 2 | |
| 听 | Hours | 14 |
| Fourth Year | ||
| Fall Semester | ||
| 惭础听402 | Mathematics of Scientific Computing | 3 |
| Advanced Mathematics Elective 5 | 3 | |
| 颁厂颁听422 | Automated Learning and Data Analysis | 3 |
| Advised Electives | 3 | |
| GEP Requirement | 3 | |
| 听 | Hours | 15 |
| Spring Semester | ||
| Advanced Mathematics Elective 5 | 6 | |
| General DSA Electives | 2 | |
| GEP Requirement | 3 | |
| Free Electives 7 | 4 | |
| 听 | Hours | 15 |
| 听 | Total Hours | 120 |
- *
Minimum 2.0 math GPA required for graduation.
- 1
The Orientation and Communication verify requirements are satisfied by some General Education Program courses which could potentially double count.
- 2
MA 141 and MA 241 must be completed with a grade of C or better.
- 3
At most one grade below a C- is permitted in Basic Science Electives (CH, PY, BIO). The Statistics and programming requirements must be satisfied with a letter grade of C- or better.
- 4
(ST 370 with MA 421) 辞谤听 (ST 370 with ST 421) will be accepted for students transferring into the Mathematics major having already taken ST 370.
- 5
At most one letter grade of D +/- is permitted in Math Elective courses. No grades of D +/- are permitted in required math courses (MA141, MA241, MA242, MA225, MA341, MA402, MA405, MA407, MA425).
- 6
No more than 6 total credits each from undergraduate research (MA 491), independent study (MA 499), or credit by examination may be used to meet program requirements (credit from AP exams or transfer credits is not included under this restriction). Also, students must complete at least one-half of the required mathematics credit hours (21) at NC State 福利逼站.
- 7
Students are encouraged to use Free Electives credits to pursue a minor or second major. Free electives courses cannot be 颁贬听100, 颁贬听111, 颁厂颁听226, 贰颁贰听220, 惭础听101, 惭础听107, 惭础听108, 惭础听111, 惭础听121, 惭础听131, 惭础听231, 笔驰听131, 笔驰听211, 笔驰听212, 贰狈骋听100. 100-level World Language Courses (WL*) can be used if not satisfying the language proficiency requirement.
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